Shivam Chauhan
about 6 hours ago
Ever feel like the old design patterns don’t quite cut it in today’s fast-paced development world?
I get it. I used to try and force-fit classic patterns into modern problems, and it was like trying to hammer a square peg into a round hole.
That’s why I’m excited to dive into some contemporary design patterns that are specifically tailored for the challenges we face today.
Let's explore these patterns to build scalable, maintainable, and efficient applications.
The software landscape has changed dramatically.
We’re dealing with distributed systems, cloud-native architectures, microservices, and a whole lot more.
Classic design patterns are still valuable, but they need a modern twist to address these new realities.
That’s where contemporary design patterns come in.
These patterns are designed to solve specific problems that arise in modern software development.
They help us build systems that are:
Let’s take a look at some of the most relevant contemporary design patterns for modern developers.
In distributed systems, services can fail. A lot.
The Circuit Breaker pattern prevents cascading failures by stopping requests to a failing service.
It acts like an electrical circuit breaker, tripping when things go wrong and preventing further damage.
Benefits:
Example:
Imagine a microservices architecture where one service is experiencing high latency.
Without a circuit breaker, requests would pile up, potentially crashing the entire system.
The circuit breaker detects the high latency and starts rejecting requests, giving the failing service a chance to recover.
In microservices, transactions often span multiple services.
The Saga pattern manages these distributed transactions by coordinating a sequence of local transactions.
If one transaction fails, the saga compensates by executing a series of compensating transactions.
Benefits:
Example:
Consider an e-commerce order that involves multiple services like order management, payment processing, and inventory management.
The Saga pattern ensures that all these services complete their transactions successfully.
If the payment processing fails, the saga compensates by canceling the order and releasing the inventory.
Instead of storing the current state of an application, Event Sourcing stores the sequence of events that led to that state.
This provides a complete audit trail of all changes and enables powerful features like time-travel debugging and replayability.
Benefits:
Example:
Think of a banking application where every transaction is stored as an event.
This allows you to replay the events to reconstruct the state of an account at any point in time.
It also makes it easy to audit transactions and detect fraud.
CQRS separates the read and write operations for a data store.
This allows you to optimize each operation independently, improving performance and scalability.
Benefits:
Example:
Consider an e-commerce website where the read operations (displaying products) are much more frequent than the write operations (placing orders).
CQRS allows you to scale the read operations independently, improving the overall performance of the website.
Let’s look at how we can implement these patterns in Java.
javapublic class CircuitBreaker {
private State state = State.CLOSED;
private int failureCount = 0;
private int failureThreshold = 5;
public Object execute(ServiceCall serviceCall) {
if (state == State.OPEN) {
throw new ServiceUnavailableException();
}
try {
Object result = serviceCall.call();
reset();
return result;
} catch (Exception e) {
failureCount++;
if (failureCount > failureThreshold) {
state = State.OPEN;
}
throw e;
}
}
private void reset() {
failureCount = 0;
state = State.CLOSED;
}
enum State {
OPEN, CLOSED
}
interface ServiceCall {
Object call();
}
}
javapublic interface SagaStep {
void execute();
void compensate();
}
public class Saga {
private List<SagaStep> steps = new ArrayList<>();
public void addStep(SagaStep step) {
steps.add(step);
}
public void execute() {
for (SagaStep step : steps) {
try {
step.execute();
} catch (Exception e) {
compensate(step);
throw e;
}
}
}
private void compensate(SagaStep failedStep) {
for (int i = steps.indexOf(failedStep); i >= 0; i--) {
steps.get(i).compensate();
}
}
}
Want to put these patterns into practice?
Coudo AI offers a range of coding problems and challenges that can help you master contemporary design patterns.
Whether you’re preparing for a system design interview or just looking to improve your skills, Coudo AI has something for you.
Why not try some problems?
Q: Are classic design patterns still relevant?
Yes, classic design patterns are still valuable.
But they often need to be adapted to address the challenges of modern software development.
Q: How do I choose the right design pattern for my problem?
Consider the specific requirements of your application and the trade-offs of each pattern.
It’s often helpful to experiment with different patterns to see which one works best.
Q: Where can I learn more about contemporary design patterns?
There are many great resources online, including books, articles, and blog posts.
Coudo AI also offers a variety of learning materials and coding challenges.
Contemporary design patterns are essential tools for modern developers.
By understanding and applying these patterns, you can build systems that are scalable, resilient, and maintainable.
So, dive in, experiment, and start building better software today!
Want to take your design pattern skills to the next level?
Check out Coudo AI's LLD learning platform for hands-on practice and expert feedback.